{"id":"https://openalex.org/W3162944666","doi":"https://doi.org/10.1109/icassp39728.2021.9414514","title":"Multi-Step Spoken Language Understanding System Based on Adversarial Learning","display_name":"Multi-Step Spoken Language Understanding System Based on Adversarial Learning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3162944666","doi":"https://doi.org/10.1109/icassp39728.2021.9414514","mag":"3162944666"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100445279","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-8059-8051"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058974318","display_name":"Yilin Shen","orcid":"https://orcid.org/0000-0002-1955-1529"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Shen","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205212","display_name":"Hongxia Jin","orcid":"https://orcid.org/0009-0000-0222-4217"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxia Jin","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7673","last_page":"7677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8717740774154663},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7606194019317627},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.713567852973938},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6715929508209229},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5979300737380981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.577441394329071},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5345997214317322},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5284887552261353},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5270474553108215},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41575223207473755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3399730920791626},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33347398042678833},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11304625868797302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8717740774154663},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7606194019317627},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.713567852973938},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6715929508209229},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5979300737380981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.577441394329071},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5345997214317322},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5284887552261353},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5270474553108215},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41575223207473755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3399730920791626},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33347398042678833},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11304625868797302},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2076440176","https://openalex.org/W2091671846","https://openalex.org/W2094472029","https://openalex.org/W2112420033","https://openalex.org/W2133564696","https://openalex.org/W2137871902","https://openalex.org/W2161163246","https://openalex.org/W2166293310","https://openalex.org/W2410842990","https://openalex.org/W2803392141","https://openalex.org/W2803609229","https://openalex.org/W2804945011","https://openalex.org/W2865728222","https://openalex.org/W2885746304","https://openalex.org/W2888921503","https://openalex.org/W2904713804","https://openalex.org/W2917128112","https://openalex.org/W2945475330","https://openalex.org/W2963033554","https://openalex.org/W2963033987","https://openalex.org/W2963289505","https://openalex.org/W2963712524","https://openalex.org/W2963974889","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2998432370","https://openalex.org/W3007569190","https://openalex.org/W3008186200","https://openalex.org/W3094877843","https://openalex.org/W3097740823","https://openalex.org/W4297683418","https://openalex.org/W6631190155","https://openalex.org/W6679434410","https://openalex.org/W6683935783","https://openalex.org/W6684017090","https://openalex.org/W6751425476","https://openalex.org/W6753332334","https://openalex.org/W6757078890","https://openalex.org/W6759393636"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Most":[0],"of":[1,86,92,102,137],"the":[2,53,66,73,100,110,122],"existing":[3],"spoken":[4,42,131],"language":[5,43,132],"understanding":[6,44,133],"systems":[7,118],"can":[8,51,76,126],"perform":[9,62,127],"only":[10,89],"semantic":[11],"frame":[12],"parsing":[13,78],"based":[14,46],"on":[15,47,65,129],"a":[16,39],"single-round":[17],"user":[18],"query.":[19],"They":[20],"cannot":[21],"take":[22],"users\u2019":[23],"feedback":[24,56,103],"to":[25,57],"up-date/add/remove":[26],"slot":[27,59],"values":[28],"through":[29],"multiround":[30,54,130],"interactions":[31],"with":[32,88,113],"users.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,107],"introduce":[38],"novel":[40],"multi-step":[41],"system":[45,75,112,125],"adversarial":[48],"learning":[49],"that":[50,72,121],"leverage":[52],"user\u2019s":[55],"update":[58],"values.":[60],"We":[61],"two":[63],"experiments":[64],"benchmark":[67],"ATIS":[68],"dataset":[69],"and":[70,119,139],"demonstrate":[71,120],"new":[74,111,123],"improve":[77],"performance":[79],"by":[80],"at":[81],"least":[82],"2.5%":[83],"in":[84,135],"terms":[85,136],"F1,":[87],"one":[90],"round":[91],"feedback.":[93],"The":[94],"improvement":[95],"becomes":[96],"even":[97],"larger":[98],"when":[99],"number":[101],"rounds":[104],"increases.":[105],"Furthermore,":[106],"also":[108],"compare":[109],"state-of-the-art":[114],"dialogue":[115],"state":[116],"tracking":[117],"interactive":[124],"better":[128],"tasks":[134],"slot-":[138],"sentence-level":[140],"accuracy.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
